






"""simple docstring"""
import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase_							      = get_tests_dir('''fixtures/test_sentencepiece.model''')







@require_sentencepiece
@require_tokenizers
class      UpperCamelCase_			(__A							,		unittest.TestCase	):
	__magic_name__       =							XGLMTokenizer
	__magic_name__       =							XGLMTokenizerFast
	__magic_name__       =							True
	__magic_name__       =							True





	def 	_SCREAMING_SNAKE_CASE ( self   :					int		)		->     Optional[Any]:
				super().setUp()

				# We have a SentencePiece fixture for testing
				UpperCAmelCase_	:					Tuple     	=   XGLMTokenizer(lowerCAmelCase_      ,      keep_accents=lowerCAmelCase_		)
				tokenizer.save_pretrained(self.tmpdirname		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					str		)		->     Optional[Any]:
				UpperCAmelCase_	:					Optional[int]     	=   "<pad>"
				UpperCAmelCase_	:					int     	=   1

				self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase_		)      ,      lowerCAmelCase_		)
				self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase_		)      ,      lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Tuple		)		->     Union[str, Any]:
				UpperCAmelCase_	:					Dict     	=   list(self.get_tokenizer().get_vocab().keys()		)

				self.assertEqual(vocab_keys[0]      ,      "<s>"		)
				self.assertEqual(vocab_keys[1]      ,      "<pad>"		)
				self.assertEqual(len(lowerCAmelCase_		)      ,      1_008		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					str		)		->     List[Any]:
				self.assertEqual(self.get_tokenizer().vocab_size      ,      1_008		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[Any]		)		->     List[str]:
				UpperCAmelCase_	:					Tuple     	=   XGLMTokenizer(lowerCAmelCase_      ,      keep_accents=lowerCAmelCase_		)

				UpperCAmelCase_	:					Any     	=   tokenizer.tokenize("This is a test"		)
				self.assertListEqual(lowerCAmelCase_      ,      ["▁This", "▁is", "▁a", "▁t", "est"]		)

				self.assertListEqual(
				    tokenizer.convert_tokens_to_ids(lowerCAmelCase_		)      ,      [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]      ,      )

				UpperCAmelCase_	:					List[Any]     	=   tokenizer.tokenize("I was born in 92000, and this is falsé."		)
				self.assertListEqual(
				    lowerCAmelCase_      ,      [
				        SPIECE_UNDERLINE + "I",
				        SPIECE_UNDERLINE + "was",
				        SPIECE_UNDERLINE + "b",
				        "or",
				        "n",
				        SPIECE_UNDERLINE + "in",
				        SPIECE_UNDERLINE + "",
				        "9",
				        "2",
				        "0",
				        "0",
				        "0",
				        ",",
				        SPIECE_UNDERLINE + "and",
				        SPIECE_UNDERLINE + "this",
				        SPIECE_UNDERLINE + "is",
				        SPIECE_UNDERLINE + "f",
				        "al",
				        "s",
				        "é",
				        ".",
				    ]      ,      )
				UpperCAmelCase_	:					Optional[int]     	=   tokenizer.convert_tokens_to_ids(lowerCAmelCase_		)
				self.assertListEqual(
				    lowerCAmelCase_      ,      [
				        value + tokenizer.fairseq_offset
				        for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
				    ]      ,      )

				UpperCAmelCase_	:					str     	=   tokenizer.convert_ids_to_tokens(lowerCAmelCase_		)
				self.assertListEqual(
				    lowerCAmelCase_      ,      [
				        SPIECE_UNDERLINE + "I",
				        SPIECE_UNDERLINE + "was",
				        SPIECE_UNDERLINE + "b",
				        "or",
				        "n",
				        SPIECE_UNDERLINE + "in",
				        SPIECE_UNDERLINE + "",
				        "<unk>",
				        "2",
				        "0",
				        "0",
				        "0",
				        ",",
				        SPIECE_UNDERLINE + "and",
				        SPIECE_UNDERLINE + "this",
				        SPIECE_UNDERLINE + "is",
				        SPIECE_UNDERLINE + "f",
				        "al",
				        "s",
				        "<unk>",
				        ".",
				    ]      ,      )





	@cached_property
	def 	_SCREAMING_SNAKE_CASE ( self   :					str		)		->     Tuple:
				return XGLMTokenizer.from_pretrained("facebook/xglm-564M"		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					Any		)		->     int:
				with tempfile.NamedTemporaryFile() as f:
							shutil.copyfile(lowerCAmelCase_      ,      f.name		)
							UpperCAmelCase_	:					Optional[Any]     	=   XGLMTokenizer(f.name      ,      keep_accents=lowerCAmelCase_		)
							UpperCAmelCase_	:					Tuple     	=   pickle.dumps(lowerCAmelCase_		)
				pickle.loads(lowerCAmelCase_		)





	def 	_SCREAMING_SNAKE_CASE ( self   :					List[str]		)		->     Tuple:
				if not self.test_rust_tokenizer:
							return

				UpperCAmelCase_	:					List[str]     	=   self.get_tokenizer()
				UpperCAmelCase_	:					Tuple     	=   self.get_rust_tokenizer()

				UpperCAmelCase_	:					int     	=   "I was born in 92000, and this is falsé."

				UpperCAmelCase_	:					Optional[int]     	=   tokenizer.tokenize(lowerCAmelCase_		)
				UpperCAmelCase_	:					int     	=   rust_tokenizer.tokenize(lowerCAmelCase_		)
				self.assertListEqual(lowerCAmelCase_      ,      lowerCAmelCase_		)

				UpperCAmelCase_	:					Any     	=   tokenizer.encode(lowerCAmelCase_      ,      add_special_tokens=lowerCAmelCase_		)
				UpperCAmelCase_	:					Union[str, Any]     	=   rust_tokenizer.encode(lowerCAmelCase_      ,      add_special_tokens=lowerCAmelCase_		)
				self.assertListEqual(lowerCAmelCase_      ,      lowerCAmelCase_		)

				UpperCAmelCase_	:					Dict     	=   self.get_rust_tokenizer()
				UpperCAmelCase_	:					List[str]     	=   tokenizer.encode(lowerCAmelCase_		)
				UpperCAmelCase_	:					int     	=   rust_tokenizer.encode(lowerCAmelCase_		)
				self.assertListEqual(lowerCAmelCase_      ,      lowerCAmelCase_		)





	@slow
	def 	_SCREAMING_SNAKE_CASE ( self   :					List[Any]		)		->     Dict:
				UpperCAmelCase_	:					Tuple     	=   "Hello World!"
				UpperCAmelCase_	:					Tuple     	=   [2, 31_227, 4_447, 35]

				self.assertListEqual(lowerCAmelCase_      ,      self.big_tokenizer.encode(lowerCAmelCase_		)		)





	@slow
	def 	_SCREAMING_SNAKE_CASE ( self   :					Optional[int]		)		->     Tuple:
				UpperCAmelCase_	:					List[str]     	=   (
				    "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
				    " add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth"
				)
				# fmt: off
				UpperCAmelCase_	:					Dict     	=   [2, 1_018, 67, 11, 1_988, 2_617, 5_631, 278, 11, 3_407, 48, 71_630, 28_085, 4, 3_234, 157, 13, 6, 5, 6, 4, 3_526, 768, 15, 659, 57, 298, 3_983, 864, 129, 21, 6, 5, 13_675, 377, 652, 7_580, 10_341, 155, 2_817, 422, 1_666, 7, 1_674, 53, 113, 202_277, 17_892, 33, 60, 87, 4, 3_234, 157, 61, 2_667, 52_376, 19, 88, 23, 735]
				# fmt: on

				self.assertListEqual(lowerCAmelCase_      ,      self.big_tokenizer.encode(lowerCAmelCase_		)		)





	@slow
	def 	_SCREAMING_SNAKE_CASE ( self   :					Any		)		->     Any:
				# fmt: off
				UpperCAmelCase_	:					Union[str, Any]     	=   {
				    "input_ids": [[2, 108_825, 1_163, 15, 88_010, 473, 15_898, 157, 13_672, 1_857, 312, 8, 238_021, 1_163, 53, 13_672, 1_857, 312, 8, 53_283, 182_396, 8, 18_566, 16, 36_733, 4_101, 8, 230, 244_017, 122_553, 7, 15, 132_597, 4, 293, 12_511, 7_610, 4, 3_414, 132_597, 9, 4, 32_361, 362, 4, 734, 28_512, 32_569, 18, 4, 32_361, 26_096, 14_982, 73, 18_715, 21_433, 235_261, 15, 492, 12_427, 16, 53, 18_715, 21_433, 65_454, 15, 23_659, 563, 16, 278, 597, 2_843, 595, 7_931, 182_396, 64_186, 22, 886, 595, 132_981, 53, 25_540, 3_449, 43_982, 39_901, 5_951, 878, 330, 4, 27_694, 80_269, 312, 53, 6_517, 11_780, 611, 20_408, 5], [2, 6, 132_597, 67, 42_897, 33, 592, 8, 163_729, 25_540, 361, 136_997, 109_514, 173_230, 7, 501, 60, 102_913, 196, 5_631, 235, 63_243, 473, 6, 231_757, 74, 5_277, 7_905, 53, 3_095, 37_317, 22, 454, 183_874, 5], [2, 268, 31_298, 46_530, 6, 132_935, 43_831, 7, 597, 32, 24, 3_688, 9_865, 5]],
				    "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
				}  # noqa: E501
				# fmt: on

				self.tokenizer_integration_test_util(
				    expected_encoding=lowerCAmelCase_      ,      model_name="facebook/xglm-564M"      ,      padding=lowerCAmelCase_      ,      )







'''simple docstring'''


def      snake_case_  (    SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	):







				"""simple docstring"""





				if b == 0:
								return 1
				if (b % 2) == 0:
								return actual_power(SCREAMING_SNAKE_CASE__				, int(b / 2	)	) * actual_power(SCREAMING_SNAKE_CASE__				, int(b / 2	)	)
				else:
								return a * actual_power(SCREAMING_SNAKE_CASE__				, int(b / 2	)	) * actual_power(SCREAMING_SNAKE_CASE__				, int(b / 2	)	)







def      snake_case_  (    SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	):







				"""simple docstring"""





				if b < 0:
								return 1 / actual_power(SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	)
				return actual_power(SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	)


if __name__ == "__main__":
				print(power(-2, -3))




